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EnglishCollaborative Filtering bases its effectiveness as a recommender system on rating about a set of items provided by a set of users. In our perspective, an agent behaves as a member of a group would do (the agent implicitly belongs to the same "culture" of the group) without extra-effort or direct interaction. In this paper, we introduce the concept of Implicit Culture and propose a general architecture for Systems for Implicit Culture Support. We show how Collaborative Filtering can be considered as an instance of our architecture, and finally, we consider the related work
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http://hdl.handle.net/11582/144| Titolo: | From Collaborative Filtering to Implicit Culture |
| Autori interni: | Blanzieri, Enrico |
| Data di pubblicazione: | 2000 |
| Abstract: | Collaborative Filtering bases its effectiveness as a recommender system on rating about a set of items provided by a set of users. In our perspective, an agent behaves as a member of a group would do (the agent implicitly belongs to the same "culture" of the group) without extra-effort or direct interaction. In this paper, we introduce the concept of Implicit Culture and propose a general architecture for Systems for Implicit Culture Support. We show how Collaborative Filtering can be considered as an instance of our architecture, and finally, we consider the related work |
| Handle: | http://hdl.handle.net/11582/144 |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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